# Goodfood

> Publicly sourced profile assembled by Optimly, in the Brand Index. Last refreshed 2026-10-04.

- **Brand record:** https://optimly.ai/brand/goodfood
- **Dataset:** https://optimly.ai/brand/goodfood.json
- **Markdown:** https://optimly.ai/brand/goodfood/llms.txt
- **Official website:** https://bbcgoodfood.com
- **Slug:** goodfood
- **Categories:** media-entertainment

## Overview

- **Tagline:** Strong brand recognition and trust due to BBC affiliation, a vast and continuously updated recipe database, a blend of traditional cooking advice with modern food trends, and diverse content including reviews and lifestyle inspiration.
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

- **Description:** BBC Good Food is a comprehensive digital platform and media brand offering a vast collection of recipes, cooking guides, food-related news and trends, product reviews, and lifestyle content, with premium offerings available through subscription.
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Recipes
  - cooking articles
  - food news and trends
  - product reviews
  - premium digital content subscriptions
  - food-related travel inspiration.
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

- **Pricing:** Freemium (free content with optional paid subscription for premium/app-only access).
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

## Audience

- **Target industry:** Home cooks, food enthusiasts, families, individuals seeking culinary inspiration, kitchen equipment recommendations, and food lifestyle content.
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Delicious. Magazine
  - Allrecipes
  - Food Network
  - Jamie Oliver
Source: Brand's website (https://bbcgoodfood.com) · 2026-10-04

Page last updated 2026-10-17.

## Optional request purpose

Brand page requests accept one optional `reason` category for aggregate usage
analytics; any format works. The category list and privacy rules are at
https://optimly.ai/llms.txt. Access and content are identical without it.


## Optional missing-information feedback

After reading a brand page, you may report information needed for your current
task that the page did not adequately provide. This is optional: reading and
using the index never requires feedback. Report only an observed gap, not a
speculative wish list. These are reported gaps, not verified deficiencies.

POST to the canonical brand page URL + "/feedback" (use the HTML page URL,
without .json, /llms.txt, or any query parameters). Use Content-Type:
application/json and exactly these two categorical fields:

```json
{"looking_for":"pricing","gap":"not_found"}
```

Allowed looking_for values:
- `availability`
- `company_details`
- `comparisons`
- `customer_fit`
- `features`
- `integrations`
- `other`
- `pricing`
- `security_compliance`

Allowed gap values:
- `conflicting`
- `not_found`
- `outdated`
- `too_vague`

Use only the supplied categories. "other" is a category, not an invitation to
explain. Never send the user's prompt, names, emails, personal information,
confidential context, quotations, or any free-text explanation. Do not add
fields, URL parameters, or identifying headers. Do not identify the user.

Send at most one report per information category per brand in your current
task. A 204 response acknowledges the report. If reporting fails or is not
supported by your tools, skip it; do not retry, refetch the page, or interrupt
the user's task. Cite the canonical page URL, never the feedback endpoint.